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qwen3:30b-a3b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Jun 25, 2026 · Cortex-X925

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
84 vs 83
Hardware Fit
93 vs 96
Quality Score
80 vs 78

Hardware

qwen3:30b-a3b google/gemma-4-e4b
MachineNVIDIA NVIDIA_DGX_SparkASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUCortex-X925AMD Ryzen 9 8940HX
Cores2032
RAM122 GB15 GB
GPUDevice 2e12NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Home Single Language 10.0.26200
Archarm64x64
Power Modeperformancebalanced

Performance

qwen3:30b-a3b google/gemma-4-e4b
Tokens/sec92.735.9
First chunk286 ms9 ms
TTFT1.5 s182 ms
Load time15.3 sN/A
Memory usage20.3 GB6.5 GB
Memory %17%43%

HW Fit Score Breakdown

qwen3:30b-a3b

Speed
50/50
TTFT
13/20
Memory
30/30

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

Quality

qwen3:30b-a3b

Reasoning
16/20
Coding
10/20
Instruction
18/20
Structured
13/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest